Apache Flink Meetup 8.7 Shenzhen station, corporate practice + 1.14 version warm-up

Introduction to Shenzhen, long time no see~ On August 7, Apache Flink Meetup, students come to register~

After 10 months, Apache Flink Meetup came to Shenzhen, a city that is highly compatible with Flink. Just as reform and innovation are the labels of Shenzhen, what Apache Flink brings to technology developers is to abandon the old "batch processing" thinking and embrace the new "streaming batch integration" trend. So what content will this Meetup bring to the students in Shenzhen, a city full of hope?

Apache Flink Community Meetup, long time no see in Shenzhen~

August 7 | Shenzhen |

Enterprise Practice + 1.14 New Features Preview

This meetingup invited 4 senior industry technical experts from Tencent, Fourth Paradigm, and Alibaba to share how Flink helped Tencent build a trillion-level real-time data into the lake tool, Auto Optimizer Service, and develop intelligent fault diagnosis and configuration Monitoring tools; how to help the fourth paradigm to establish a real-time update system for the OpenMLDB database. In addition to sharing corporate practices, a preview of the new features of Flink version 1.14 will also be brought to you in this Meetup.

■ Activity highlights

• a lot of practical dry goods. How can enterprises use Flink's high real-time and low latency to solve the problem of trillion-level real-time data entering the lake, intelligent diagnosis and monitoring? In addition, what features and experience optimizations will Flink 1.14 bring about?
• form of activity diversified, is opened simultaneously offline and online, in the same city, you can participate in offline Meetup face-to-face communication, and you can also watch the live broadcast online in different places. Don't miss the exciting content!
• rich peripherals are waiting for you, sign up to have the opportunity to get a lot of exquisite peripherals customized by the Flink community! Such as the latest special issue & mug~

**■ Event agenda
**

▼ Register now▼

https://huodongxing.com/event/4607482627500

Guests and topic introduction

"Intelligent Diagnosis and Configuration of Flink Real-time Operations"

Shi

Tencent Big Data Computing Platform

[Guest Profile]

Currently serving as the person in charge of Tencent's big data computing platform. Graduated from Peking University in 2016 with a doctorate degree. Committer, the Apache Flink project. Published many papers in top international conferences and journals such as SIGMOD, TODS and IPDPS, and served as a member of KDD, DASFAA and other international conference program committees. He has rich working experience in the fields of big data, query optimization and distributed computing.

[Lecture Introduction]

Tencent's internal unified real-time computing platform supports many businesses including video accounts, Tencent advertising and Tenpay, and it processes more than 65 trillion data every day. Compared with traditional offline big data operations, real-time operations require 7x24 hours of uninterrupted operation and guarantee to process massive amounts of dynamically changing data with lower latency, which brings great challenges to development and operation and maintenance. In order to reduce the user's development threshold and operation and maintenance difficulty, we have developed intelligent fault diagnosis and configuration monitoring tools to help users locate problems in a timely manner, reasonably configure job resources and parallelism, and monitor job running status in real time.

"Trillion-level real-time data into the lake tool-Auto Optimizer Service"

Xu forward

Apache Calcite Committer

Tencent Data Lake R&D Senior Engineer

[Guest Profile]

Years of big data work experience, open source big data components Flink, Iceberg, Pulsar and other contributors, Apache Calcite Committer.

[Lecture Introduction]

The core of this sharing is to explain the background, principles and implementation of the Auto Optimizer Service, a powerful tool for trillions of real-time data into the lake. This sharing mainly focuses on the following four aspects:

1. Background and pain points
Two, architecture and use case scenarios
3. Design principle and realization
4. Future development and thinking

"Flink-based OpenMLDB database real-time update system"

Chen Dihao

OpenMLDB open source project PMC

Fourth Paradigm Platform Architect

[Guest Profile]

Chen Dihao, the fourth paradigm platform architect, OpenMLDB open source project PMC. Currently in the fourth paradigm, he has served as the architect of the Xiaomi Cloud Deep Learning platform and the head of the storage and container team of Usta Cloud Computing Company. He is active in open source communities related to distributed systems and machine learning, and is a contributor to open source projects such as HBase, OpenStack, TensorFlow, and TVM. Passed AWS Solution Architect certification, and has done technology sharing in Austin OpenStack Summit, CPP Summit, Strata Hadoop Conference, ML Summit, ECUG, GIAC, BDTC and other domestic and foreign conferences.

[Lecture Introduction]

OpenMLDB is an open source database that provides correct and efficient data supply for machine learning applications. Based on the Flink streaming computing framework, a high-performance AI data real-time update system is implemented. Whether it is an offline sample number warehouse or an online estimation service, only one data introduction can satisfy AI such as model training data update and online data return. Landing demand.

"Flink 1.14 New Features Preview"

Song

Apache Flink PMC Member & Committer

Alibaba technical expert

[Guest Profile]

Apache Flink PMC Member & Committer, Alibaba technical expert, PhD from Peking University. Currently working in the Alibaba Cloud open source big data team, mainly responsible for the development of Flink distributed runtime, resource management, deployment and other modules. It is also the Release Manager of Flink 1.14.

【Lecture Introduction】

Flink 1.14 will be released soon. What features and experience optimizations will the new version bring to you? This sharing will take you to understand some of the main new features of Flink 1.14 in advance, introduce its application scenarios and principles, and the long-term goals and plans behind this.

event registration

up now 1610bb6ab2709e

https://huodongxing.com/event/4607482627500

■ Event details

• Time: August 7th 13:30-17:30
• Location: Hall, Building 8, Shenzhen Bay Ecological Technology Park, Nanshan District, Shenzhen
• live watch: https://developer.aliyun.com/live/247104

Copyright statement: content of this article is contributed spontaneously by Alibaba Cloud real-name registered users. The copyright belongs to the original author. The Alibaba Cloud Developer Community does not own its copyright and does not assume corresponding legal responsibilities. For specific rules, please refer to the "Alibaba Cloud Developer Community User Service Agreement" and the "Alibaba Cloud Developer Community Intellectual Property Protection Guidelines". If you find suspected plagiarism in this community, fill in the infringement complaint form to report it. Once verified, the community will immediately delete the suspected infringing content.